Immowelt: scrapers and the official API, compared

Route map

Each line is one way to get Immowelt data; each stop is a field you probably need. Green lines are catalogue Actors, ranked by the published formula.

Field matrix: who returns what

Every tool with a published output schema, against the 6 fields most Immowelt jobs need. A dot means the field name appears in the schema; rows can still leave it empty.

Field dictionary: the exact keys

The same core field has a different key in each Actor's output. Map these before you merge datasets; a dash means the published schema has no matching key. Need a field that is not listed here, such as email? Search every Immowelt Actor by field.

Download this comparison: CSV · JSON (every tool with a published schema, matching keys per core field, price and score).

All 9 tools, scored

Catalogue Actors link to their detail pages; the score (0 to 100) is the published formula, identical for every tool. Other Store tools follow in their own table, for reference. Price is the published primary-result rate per 1,000 (the Free-plan rate where the price is tiered; higher Apify plans pay less); start events and platform usage are excluded.

Other Store tools, for reference

Scored with the same published formula and listed for comparison only; this site does not link or recommend them.

What to check before you choose

Teams use Immowelt listings to compare advertised rents, track sale inventory and study differences between districts. Keep rental and purchase records separate so that asking prices retain their meaning.

A search-based scraper suits a recurring city or district dataset. For research that depends on street addresses or named agents, choose a route whose published output explicitly includes those details.

Checklist

• Check whether priceCold, priceWarm or purchasePrice matches your analysis. Preserve distributionType so rental and sale records remain distinguishable.
• Confirm that livingSpaceSqm describes the area you need and that rooms is populated for the property types in scope.

Where the data is incomplete

The published scraper schema includes city and district but does not list address. It includes providerName without a dedicated agent field, so precise location matching and agent-level research need additional coverage.

The field descriptions published here do not explain availability or extraction rules. Published fields such as yearBuilt and energyClass should be checked in the output before they become required inputs to an analysis.

Official API route

Terms and personal data

Limit collection to public listings and review Immowelt's terms before collecting or reusing records. Public visibility is not permission to republish listing content. This is general information, not legal advice.

Read Immowelt's terms. Keep to public data, do not bypass logins or access controls, and check whether personal data is involved before you collect it. The can-I-scrape checklist walks through it.

How to start

1. Open Immowelt Germany Rent & Buy Listings Scraper and review its input documentation and Hamburg office-rental example.
2. Configure a narrowly scoped rental or sale search using the documented inputs, then start the collection.
3. Inspect the resulting dataset for sourceUrl, distributionType and the relevant price fields before exporting it.

Call Immowelt Germany Rent & Buy Listings Scraper from code

The example input uses the Actor's published defaults; set your own Immowelt query before you run it. You need an Apify API token.

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run_input = {
    "mode": "search",
    "city": "Berlin",
    "distributionType": "mieten",
    "estateType": "wohnung",
    "features": [],
    "energyClass": [],
    "buildState": [],
    "projectTypes": [],
    "sellerType": "any",
    "wbsRequired": False,
    "floorLocation": [],
    "excludeGroundFloor": False,
    "includeKeywords": [],
    "excludeKeywords": [],
    "maxItems": 5,
    "propertyIds": [],
    "includeDetails": False,
    "maxDetails": 0
}

run = client.actor("vexaloom-labs/immowelt-germany-rent-and-buy-listings-scraper").call(run_input=run_input)
if run is None:
    raise RuntimeError("The Actor run was not found.")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "<YOUR_APIFY_TOKEN>" });
const input = {
    "mode": "search",
    "city": "Berlin",
    "distributionType": "mieten",
    "estateType": "wohnung",
    "features": [],
    "energyClass": [],
    "buildState": [],
    "projectTypes": [],
    "sellerType": "any",
    "wbsRequired": false,
    "floorLocation": [],
    "excludeGroundFloor": false,
    "includeKeywords": [],
    "excludeKeywords": [],
    "maxItems": 5,
    "propertyIds": [],
    "includeDetails": false,
    "maxDetails": 0
};

const run = await client.actor("vexaloom-labs/immowelt-germany-rent-and-buy-listings-scraper").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

curl -X POST "https://api.apify.com/v2/actors/vexaloom-labs~immowelt-germany-rent-and-buy-listings-scraper/run-sync-get-dataset-items"   -H "Authorization: Bearer $APIFY_TOKEN"   -H "Content-Type: application/json"   -d '{"mode":"search","city":"Berlin","distributionType":"mieten","estateType":"wohnung","features":[],"energyClass":[],"buildState":[],"projectTypes":[],"sellerType":"any","wbsRequired":false,"floorLocation":[],"excludeGroundFloor":false,"includeKeywords":[],"excludeKeywords":[],"maxItems":5,"propertyIds":[],"includeDetails":false,"maxDetails":0}'

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=vexaloom-labs/immowelt-germany-rent-and-buy-listings-scraper",
      "headers": {
        "Authorization": "Bearer <YOUR_APIFY_TOKEN>"
      }
    }
  }
}

Questions people ask

More on Immowelt

• Topic groupReal estate data: every website compared
• ToolWhich Immowelt route fits your job?
• ToolImmowelt cost by Apify plan, rows and runs

Related websites

• Willhaben1 Actor
• Idealista1 Actor

Sources

• Immowelt Germany Rent & Buy Listings Scraper on Apify Store
• No public listing API documentation
• Immowelt terms